通过实体增强实现自然语言到数据库查询的精准转换
Natural Language Querying System Through Entity Enrichment
- 基于实体增强技术将自然语言转化为数据库查询
- 初步实验显示方法具备良好精度
- 适用于多种数据库模型，适合企业级查询系统
本文聚焦于面向数据库的领域专家查询系统。针对一家法国企业希望为其客户提供自然语言接口的需求，提出了一种基于实体增强的解决方案，旨在将自然语言查询准确转换为数据库查询。该方法采用逻辑范式处理数据库，表明其可适配多种数据库模型。初步实验验证了该方法的良好精度。
原文摘要 · Abstract (English)
This paper focuses on a domain expert querying system over databases. It presents a solution designed for a French enterprise interested in offering a natural language interface for its clients. The approach, based on entity enrichment, aims at translating natural language queries into database queries. In this paper, the database is treated through a logical paradigm, suggesting the adaptability of our approach to different database models. The good precision of our method is shown through some preliminary experiments.
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